Classifies text as negative, neutral or positive with multilingual-sentiment-small (141M, Apache-2.0), running entirely in your browser. One text per line. The first run downloads the model, which is then cached.
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Mixed or balanced opinions are labelled neutral. Sarcasm, very short texts and domain-specific language are harder; see the model card for measured accuracy per language.